PEO's, PO's and PSO's
B.Tech. CSE (AI & ML)
Program Educational Objectives (PEO's)
- PEO1.Apply appropriate theory, practices, and tools of machine intelligence to the specification, design, implementation, maintenance, and evaluation in the workplace or in higher education.
- PEO2.Adapt, contribute and innovate new technologies in their computing profession by working in teams to design, implement, and maintain in the key domains of Artificial Intelligence & Machine Learning.
- PEO3.Function effectively in the work place as competent Artificial Intelligence & Machine Learning Professionals, Entrepreneurs or Researchers or maintain employment through lifelong learning such as professional conferences, certificate programs or other professional educational activities, ethics, and societal awareness.
Programme Outcome (PO's)
- PO1.Engineering knowledge: Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialisation to the solution of complex engineering problems.
- PO2.Problem analysis: Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
- PO3.Design/development of solutions: Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs — with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is now intrinsic to design.
- PO4.Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO5.Engineering Tool Usage: : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling — recognising their limitations — to solve complex engineering problems. (Previously titled "Modern Tool Usage.")
- PO6.The Engineer and the World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment. This PO merges the old PO6 (Society) and old PO7 (Environment and Sustainability) into one.
- PO7.Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; and adhere to relevant national and international laws. (Diversity and inclusion are now explicit additions.)
- PO8.Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
- PO9.Communication: Communicate effectively and inclusively within the engineering community and with society at large, comprehending and writing effective reports and design documentation, and making effective presentations, considering cultural, language, and learning differences.
- PO10.Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one's own work, as a member and leader in a team, to manage projects in multi-disciplinary environments.
- PO11.Life-Long Learning: Recognise the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.
Program Specific Outcomes (PSO's)
- PSO1. Cognitive Outcome: Solve complex engineering problems in computing by applying the principles in Artificial Intelligence, Machine Learning, Network Engineering, Software Engineering, Data Engineering and Intelligent Systems.
- PSO2. Skill & Design Outcome: Apply technical skills and research skills through professional societies, certification programs, projects, internships and laboratory exercises to design & develop algorithms, programs, and projects using modern software tools to provide the sustainable solutions to Computer Science, Artificial Intelligence and Machine Learning problems related to the society and environment.
M.Tech. CSE (AI & ML)
Program Educational Objectives (PEO's)
- PEO1.Professional Competence: Graduates will demonstrate advanced knowledge and professional competence in Computer Science, Artificial Intelligence and Machine Learning to analyze and develop effective solutions for complex computing and engineering problems.
- PEO2.Research and Innovation Graduates will engage in research, innovation and advanced technology development by applying AI, Machine Learning and modern computational techniques to address industrial, sustainable, societal and multidisciplinary challenges.
- PEO3.Professional Growth and Leadership Graduates will demonstrate ethical responsibility, effective communication, leadership, lifelong learning and good governance to pursue successful careers in industry, research, academia and entrepreneurship.
Programme Outcome (PO's)
- PO1.Engineering knowledge: Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialisation to the solution of complex engineering problems.
- PO2.Problem analysis: Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
- PO3.Design/development of solutions: Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs — with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is now intrinsic to design.
- PO4.Conduct investigations of complex problems: Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO5.Engineering Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling — recognising their limitations — to solve complex engineering problems. (Previously titled "Modern Tool Usage.")
- PO6.The Engineer and the World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment. This PO merges the old PO6 (Society) and old PO7 (Environment and Sustainability) into one.
- PO7.Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; and adhere to relevant national and international laws. (Diversity and inclusion are now explicit additions.)
- PO8.Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
- PO9.Communication: Communicate effectively and inclusively within the engineering community and with society at large, comprehending and writing effective reports and design documentation, and making effective presentations, considering cultural, language, and learning differences.
- PO10.Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one's own work, as a member and leader in a team, to manage projects in multi-disciplinary environments.
- PO11.Life-Long Learning: Recognise the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.
Program Specific Outcomes (PSO's)
- PSO1. Advanced Computing and AI/ML Systems: Apply advanced computing, algorithmic and Artificial Intelligence and Machine Learning principles to analyze, design and develop scalable, sustainable, secure and intelligent computing systems.
- PSO2. AI/ML Research and Solution Development: Design, implement and evaluate AI and Machine Learning solutions using advanced models, computational tools and research methodologies to address complex industrial, multidisciplinary and societal problems.
M.Tech. Artificial Intelligence
Program Educational Objectives (PEOs)
- PEO 1: AI Professional Competence: Graduates will demonstrate advanced knowledge and professional competence in Artificial Intelligence to analyze, design and develop intelligent, adaptive and autonomous solutions for complex real-world problems.
- PEO 2: AI Research and Innovation: Graduates will engage in research and innovation in emerging areas of Artificial Intelligence by developing and evaluating advanced AI models, sustainable intelligent systems and technology-driven solutions for industrial and societal applications.
- PEO 3: Responsible AI Leadership and Professional Growth: Graduates will demonstrate responsible and ethical AI practices, leadership, effective communication, good governance and lifelong learning to pursue successful careers in industry, research, academia and entrepreneurship.
Programme Outcome (PO's)
- PO1 - Engineering Knowledge: Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialisation to the solution of complex engineering problems.
- PO2 - Problem Analysis: Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.
- PO3 - Design/Development of Solutions: Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs — with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is now intrinsic to design.
- PO4 - Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- PO5 - Engineering Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling — recognising their limitations — to solve complex engineering problems. (Previously titled "Modern Tool Usage.")
- PO6 - The Engineer and the World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment. This PO merges the old PO6 (Society) and old PO7 (Environment and Sustainability) into one.
- PO7 - Ethics: Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; and adhere to relevant national and international laws. (Diversity and inclusion are now explicit additions.)
- PO8 - Individual and Collaborative Teamwork: Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.
- PO9 - Communication: Communicate effectively and inclusively within the engineering community and with society at large, comprehending and writing effective reports and design documentation, and making effective presentations, considering cultural, language, and learning differences.
- PO10 - Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one's own work, as a member and leader in a team, to manage projects in multi-disciplinary environments.
- PO11 - Life-Long Learning: Recognise the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.
Program Specific Outcomes (PSOs)
- PSO 1: Advanced and Intelligent AI Systems: Apply advanced AI, Machine Learning, Deep Learning, Generative AI and intelligent agent technologies to design and develop adaptive, autonomous and multimodal smart systems.
- PSO 2: Responsible AI Research and Deployment: Design, evaluate and deploy scalable, sustainable, secure and responsible AI solutions using modern AI frameworks, computational platforms and research methodologies for multidisciplinary, industrial and societal applications.
